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Application of the thermostable β-galactosidase, BgaB, from Geobacillus stearothermophilus as a versatile reporter under anaerobic and aerobic conditions

AMB Express volume 7, Article number: 169 (2017) Cite this article

Abstract

Use of thermophilic organisms has a range of advantages, but the significant lack of engineering tools limits their applications. Here we show that β-galactosidase from Geobacillus stearothermophilus (BgaB) can be applicable in a range of conditions, including different temperatures and oxygen concentrations. This protein functions both as a marker, promoting colony color development in the presence of a lactose analogue S-gal, and as a reporter enabling quantitative measurement by a simple colorimetric assay. Optimal performance was observed at 70 °C and pH 6.4. The gene was introduced into G. thermoglucosidans. The combination of BgaB expressed from promoters of varying strength with S-gal produced distinct black colonies in aerobic and anaerobic conditions at temperatures ranging from 37 to 60 °C. It showed an important advantage over the conventional β-galactosidase (LacZ) and substrate X-gal, which were inactive at high temperature and under anaerobic conditions. To demonstrate the versatility of the reporter, a promoter library was constructed by randomizing sequences around −35 and −10 regions in a wild type groES promoter from Geobacillus sp. GHH01. The library contained 28 promoter variants and encompassed fivefold variation. The experimental pipeline allowed construction and measurement of expression levels of the library in just 4 days. This β-galactosidase provides a promising tool for engineering of aerobic, anaerobic, and thermophilic production organisms such as Geobacillus species.

Introduction

Economically feasible production of biofuels and biochemicals using microbial cell factories is becoming an increasingly important challenge in the transition towards a sustainable society. Development and optimization of suitable production microorganisms is essential to meet this challenge. Direct engineering of the metabolic pathways of these microorganisms is a recognized method for improving properties and performances. Tuning gene expression to perform metabolic optimization rather than substantial overexpression or inactivation of genes is thus far more appreciated.

Today, strain development for production of many biochemicals is based on metabolic engineering of few mesophilic organisms, such as Escherichia coli and Saccharomyces cerevisiae (Fisher et al. 2014; Otero et al. 2013; Woolston et al. 2013). The choice of production host has largely been determined by the availability of efficient engineering tools that enable rapid strain development. Besides being convenient, these organisms are not necessarily the best-suited hosts for robust and low cost production of chemicals.

Thermophilic fermentation has several advantages compared to conventional mesophilic fermentation, including: (i) metabolic rates are typically higher at elevated temperatures; (ii) thermophiles are robust and contain thermotolerant enzymes; (iii) thermophilic organisms generally have a low cellular growth yield, hence more substrate carbon is directed towards the product; (iv) thermophilic fermentations are less prone to contaminations by mesophiles; (v) growth at high temperature facilitates recovery of volatile products, for example ethanol (Payton 1984); (vi) fermentation at elevated temperatures reduces the requirement for cooling (Kuhad and Singh 1993; Payton 1984; Wiegel and Ljungdahl 1986). Examples of metabolic engineering of thermophiles have long been limited, but have recently started to emerge (Bhandiwad et al. 2014; Cripps et al. 2009; Shaw et al. 2008; van der Veen et al. 2013). However, genetic tools are often strain-specific (Klapatch et al. 1996; Mai et al. 1997; Mai and Wiegel 2000), and there is a need for a generalized toolbox that allows genetic manipulation and screening of thermophilic production strains.

In particular, the variety of genetic markers and reporters suited for thermophiles is very limited, although a few thermostable variants of green fluorescent protein (GFP) have recently been developed (Aliye et al. 2015; Kiss et al. 2009). A major limitation for applying the GFP variants is that the formation of the chromophores strictly requires oxygen, which restricts the use to aerobic systems (Piatkevich and Verkhusha 2011).

The enzyme β-galactosidase (EC 3.2.1.23), commonly named lactase, catalyzes the hydrolysis of the terminal non-reducing β-d-galactose residues in β-d-galactosides. For example, it catalyzes the hydrolysis of lactose into glucose and galactose. Several β-galactosidases have been isolated and characterized for the production of lactose-free milk products (Panesar et al. 2006). Thermostable β-galactosidases possess a considerable industrial potential due to their high activity at elevated temperatures (Chen et al. 2008; Pessela et al. 2003; Zeikus et al. 1998). Different thermostable β-galactosidases from bacteria, archaea, and fungi have been identified and characterized with industrial perspective, from species including: Thermus sp. (Ohtsu et al. 1998; Ulrich et al. 1972), Geobacillus stearothermophilus (Chen et al. 2008), Thermotoga maritima (Kim et al. 2004), Thermoanaerobacter sp. (Lind et al. 1989), Bacillus coagulans (Batra et al. 2002), Pyrococcus woesei (Daabrowski et al. 2000), Rhizomucor sp. (Shaikh et al. 1999), and Talaromyces thermophilus (Nakkharat and Haltrich 2006). The most studied β-galactosidase is derived from E. coli, notably a mesophile, and is encoded by lacZ. It has been used to elucidate the catalytic mechanism of this enzyme (Mahoney 1997), and it is frequently used in life sciences, since the active enzyme is easily detected when the lactose analogue 5-bromo-4-chloro-3-indolyl-β-d-galactopyranoside (X-gal) is cleaved forming an intense blue product. The color development requires the presence of oxygen, which limits its use to aerobic bacteria. The more recently developed thermostable dye, 3,4-cyclohexenoesculetin β-d-galactopyranoside (S-gal), does not require oxygen for development of a black product (Heuermann and Cosgrove 2001). Application of this dye would enable color-based selection in thermophilic microorganisms, both anaerobic and aerobic.

In this paper, we characterize the β-galactosidase encoded by bgaB from G. stearothermophilus for molecular applications in thermophiles and under anaerobic conditions. The bgaB gene has previously been applied as a reporter to monitor heat/stress response in Bacillus subtilis (Schrogel and Allmansberger 1997; Yuan and Wong 1995), as well as to gain expression profiles of various promoters in Geobacillus kaustophilus HTA426 (Suzuki et al. 2013), thus it is considered suited for the purpose. Since G. thermoglucosidans is a facultative anaerobe and capable of growing at a broad range of temperatures, it is a suitable platform for testing this and other systems, which require various conditions. We demonstrate bgaB as an efficient tool for colony screening of thermophilic aerobic and anaerobic microorganisms. Furthermore by showing its capacity in quantifying promoter strength in a randomized library we highlight the versatility of the tool.

Materials and methods

Strains, plasmids, and primers

The strains and plasmids used in this study are listed in Table 1. The primers used for the constructs are listed in Table 2.

Table 1 List of strains and plasmids
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Table 2 List of primers used in this study
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Media and culture conditions

Escherichia coli was grown aerobically at 37 °C in lysogenic broth (LB), when necessary, supplemented with 100 µg/ml ampicillin and 250 µg/ml S-gal with 250 µg/ml ammonium ferric citrate. The mTGP medium [modified from Taylor et al. (2008)] was used to grow G. thermoglucosidans at 60 °C. It contained per liter: 17 g tryptone, 3 g soy peptone, 5 g NaCl, 2.5 g K2HPO4. After autoclavation, sterile solutions were added to final concentrations: 4 ml/l glycerol, 4 g/l sodium pyruvate, 0.59 mM MgSO4, 0.91 mM CaCl2, and 0.04 mM FeSO4; agar to 1.5% (w/v) was added to solidify the medium when needed. 12.5 µg/ml of kanamycin was used for selection of transformants.

For protein (BgaB) expression (under control of the lacZ promoter), a fresh E. coli culture was grown in LB media with appropriate antibiotics at 37 °C and 200 RPM of shaking until OD600 reached 0.5, then the expression was induced with IPTG (1 mM). The culture was allowed to further incubate for 3 h before determining the β-galactosidase activity.

DNA manipulations

Genomic DNA was extracted using the Wizard® Genomic DNA Purification Kit (Promega) according to producer’s specifications. Plasmid extractions were performed using NucleoSpin® Plasmid EasyPure kit (Macherey–Nagel).

Construction of the plasmids

Primers used in this study are listed in Table 2. All fragments were amplified with oligomers having uracil incorporated, using the Phusion U polymerase (Thermo Scientific). The plasmids and promoter library were constructed by the uracil-specific excision reagent (USER) cloning method (Geu-Flores et al. 2007; Nour-Eldin et al. 2006). In brief, 1 μl of 5× HF buffer (Thermo Scientific) and 1 U of USER™ enzyme mix (New England Biolabs, 1 U/ml) were added to 10 µl of the mixture of purified PCR products, plasmid backbone, or genes.

The reaction mixture was incubated for 25 min at 37 °C, followed by 25 min of incubation at a temperature optimized for annealing of the fragments for 25 min. 8 µl of water was added to the reactions, reaching a final volume of 20 µl. 5 µl diluted USER mixture was used to transform chemically competent E. coli TOP10 cells (Thermo Scientific) (Sambrook and Russell 2001).

β-Galactosidase assay

The β-galactosidase activity was determined as described in Zhang and Bremer (1995), with the following modifications: hexadecyltrimethylammonium bromide and sodium deoxycholate were excluded from the substrate solution and the concentration of dibasic sodium phosphate in the permeabilization solution was 100 mM. The activity at different temperatures was determined by incubating the samples for 35 min at different temperatures, and stopping them by adding stop solution, then letting the samples cool before the absorbance (420 nm) was measured. The pH profiles (3.0–8.0) were determined at 70 °C in two buffer systems: citrate–phosphate buffer (200 mM) from pH 3.0 to 6.4 and sodium–phosphate buffer (200 mM) from pH 6.4 to 8.0. After adding the stop solution, the samples were centrifuged at 17,000g for 15 min, and absorbance of the supernatants was measured at 420 nm using a BioTek Synergy Mx Microplate Reader. The enzymatic activity was calculated following the equation below:

$$a = \frac{{Abs_{s} }}{{Abs_{c} \cdot V_{c} \cdot t}}$$
(1)

where a designates the enzyme activity (in Miller units), Abs s is the absorbance at 420 nm of the sampled supernatant, Abs c is the optical density at 600 nm of the sampled culture, V c is the volume of the culture sampled and t is the reaction time. All samples were made in triplicates, unless stated otherwise.

For assays performed in deep 96-well microtiter plates (promoter library) the centrifugation was reduced to 4000g for 60 min. To compensate for possible presence of cell debris etc., absorbance at 550 nm was included and compensated in the activity calculations, which when multiplied by 1.75 estimates the light-scatter at 420 nm (Stephenson 2016). The extended version of Eq. (1) was used for the promoter library study.

$$a = \frac{{Abs_{420} - 1.75 \cdot Abs_{550} }}{{Abs_{c} \cdot V_{c} \cdot t}}$$
(2)

Promoter library construction

The promoter of the groES gene (PgroES), coding for a subunit of a chaperone complex, was placed upstream the bgaB gene (RefSeq WP_020755758.1) from G. stearothermophilus on the plasmid pUCG18 (Taylor et al. 2008). This was done using oligomers PNJ267, PNJ268, and PNJ269 in two steps to delete the CIRCE sequence responsible for the negative regulation of groES expression. After the β-galactosidase activity was observed on solid medium supplemented with S-gal, the library was constructed by whole plasmid-amplification using long DNA oligomers with partially randomized sequences (PNJ388 and PNJ389). To remove the parental plasmid, the amplicons were digested with DpnI and isolated by gel-purification. The linearized plasmids were circularized by the USER-cloning method as described above. Transformants were selected on plates with ampicillin and S-gal. The black colonies were picked and cultivated in LB with ampicillin in deep 96 well plates at 37 °C overnight and used for inoculation the next day and subsequent activity measurements.

For the expression in G. thermoglucosidans, genes bgaB and lacZ were cloned into vector pMTL61110 (Sheng et al. 2017). The bgaB gene under PgroES-derived promoters was amplified using primers PNJ267 and PNJ383 and cloned into the pMTL backbone, which was produced by PCR with primers PNJ23 and PNJ24d. The resulting plasmids were used as templates for PCR to derive backbones with respective promoters (primers PNJ27b and PNJ566), where the lacZ gene was cloned (amplified with primers PNJ672 and PNJ673 from genomic DNA of E. coli MG1655).

Results

The thermostable β-galactosidase from G. stearothermophilus was initially cloned and expressed under control of the Plac promoter in E. coli.

To evaluate the potential of this enzyme as a molecular tool under different conditions, its activity was measured in cell lysate at temperatures ranging from 22 to 75 °C and pH ranging from 3 to 8 (Fig. 1). At moderate temperatures the activity was low, while above 55 °C the activity was more pronounced. The highest activity (549.5 Miller units) was achieved at 70 °C. Increasing the temperature even further reduced the activity abruptly. The activity profile at various pH showed an optimum at pH 6.4. At higher pH, activity was still considerable, however, below pH 4 the activity was marginal.

Fig. 1
figure1

Temperature (a) and pH (b) profiles of the BgaB expressed in E. coli. The Y-axis designates the relative β-galactosidase activity at different conditions temperature (a) and pH (b). Error bars indicate standard deviation calculated based on triplicate experiments. pH profile was assessed at 70 °C

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Quantification of gene expression by evaluating promoter library in E. coli

To demonstrate the applicability of bgaB as a reporter for quantitative measurements of expression levels, a promoter library was constructed using a method described by Jensen and Hammer (1998a, b). It includes the randomization of the groES promoter regions between −35 and −10 elements, while leaving these elements intact, as a way to vary promoter strength. In total, we obtained 28 clones with different promoter variants in E. coli. They were grown in 96-well microtiter plates to OD 2.5–4.0 and β-galactosidase activity was measured by incubating for 35 min at 60 °C (Fig. 2). The commonly used LacZ was not included as reference due to its marginal activity at the tested temperatures (Welsch et al. 2012). All variants displayed β-galactosidase activity. The highest activity (clone 8) measured was 186 Miller units (MU), whereas 38 MU was the lowest measured value (clone 21). This corresponds approximately to a fivefold difference. Of the 28 promoters, 19 showed an activity above 75 MU, whereas activity in 9 of the mutants was below 75 MU. Thus, the employed strategy proved successful for creating and selecting a wide range of expression variance.

Fig. 2
figure2

Promoter activities as measured by the expression levels of thermostable β-galactosidase in E. coli. The activity measurement was based upon 35 min of incubation at 60 °C. Error bars indicate standard deviation calculated from triplicate experiments

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As expected from the primer design, the alignment of promoter sequences shows great variation in the sequences upstream (8 bp), downstream (4 bp), and between (17 bp) the −35 and −10 regions (Additional file 1: Figure S1). There was a slight variation in GC content of the varied positions: the six mutants with highest activities had an average GC content of 31%, whereas the six mutants with lowest activity had an average of 26%. Promoter variant 12 stands out, since it had a point insertion downstream of the −10 sequence.

Activity of thermostable β-galactosidase at different conditions

In the presence of Fe3+, β-galactosidase cleaves S-gal with a formation of a black product. Although β-galactosidase activity at 37 °C reached only 3% of the maximum, distinct black colonies are readily observed when it is expressed in E. coli (Additional file 1: Figure S2b). Color development was not observed in colonies of the negative control (Additional file 1: Figure S2a).

We tested the applicability of BgaB and S-gal at different temperatures and oxygen levels. To this end, we expressed bgaB in G. thermoglucosidans under control of three promoters of different strengths (P13, P24 and P27) from the library described above (Fig. 3). The thermostable BgaB was compared to the commonly used LacZ β-galactosidase from E. coli, which was expressed under control of the same three promoters. The combination of BgaB with S-gal produced coloration in all circumstances, including 60 °C and under anaerobic conditions. On the contrary, LacZ was virtually inactive, and X-gal gave a much weaker color at high temperature. Since the color development from X-gal is known to require oxygen, we hypothesize that the observed blue color may be due to other compounds in the media or contamination with low levels of oxygen.

Fig. 3
figure3

Expression of bgaB and lacZ in G. thermoglucosidans at 60 and 45 °C under aerobic and anaerobic conditions. The plates were supplemented with either S-gal or X-gal. Promoters P13, P24, and P27 of different strength were taken from the library (see Fig. 2)

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Discussion

Application of bgaB as a versatile genetic reporter has been proven in mesophilic and thermophilic facultative aerobe bacteria and in mouse embryos in the presence of oxygen (Kishigami et al. 2006; Schrogel and Allmansberger 1997; Suzuki et al. 2013; Yuan and Wong 1995). Focusing on the applications of the bgaB gene under thermophilic and anaerobic conditions, we initially expressed it in E. coli. Optimal conditions for its activity were determined to be 70 °C and pH 6.4. The BgaB protein has previously been characterized by Chen et al. (2008) and Dong et al. (2011), aiming at applications in the dairy industry and by Yuan and Wong (1995) and Schrogel and Allmansberger (1997) who apply bgaB as a reporter gene. In the study by Chen et al. (2008) the optimal conditions for the enzyme were found to be pH 7.0 and 70 °C. Despite the coherence between temperature optima, the pH optimum in the present study (pH 6.4) slightly deviates from that data. Unlike the study by Chen et al. (2008), all activity measurements in our study were performed directly on the cell lysate. Dong et al. (2011) utilized His-tagging of the protein for purification and found pH optimum to be 7.0. It is possible that the addition of the affinity tag may affect protein function and pH optimum, as it has previously been observed for other proteins (Thielges et al. 2011). Additionally, both studies determined pH optimum at 55 °C, while optimal temperature for this enzyme’s activity is 70 °C, the significant influence by the temperature on the activity of BgaB was also shown (at lower temperatures) by Welsch et al. (2012). The study by Schrogel and Allmansberger (1997) test cell extract and found pH optimum coherent to this study, despite that the temperature of the assay was 55 °C. Half-life of the BgaB protein was not assessed in this study, but it has been reported to be 120 h at 60 °C and 9 h at 70 °C (Chen et al. 2008). This and the temperature profile support the application of BgaB as a marker/reporter for organisms growing at higher temperatures (<75 °C).

Although E. coli grows optimally at a temperature where BgaB has only marginal activity, S-gal assay on solid medium is sensitive enough to produce distinct black colonies. Expression of bgaB in Geobacillus growing at 60 °C both aerobically and anaerobically similarly resulted in development of black colonies in contrast to lacZ from E. coli. This is in coherence with the study by Welsch et al. (2012). The observation points to a wide applicability of bgaB as a genetic marker, since it functions both in mesophiles and thermophiles, Gram-positive and Gram-negative bacteria. As shown in this study, the color development is not dependent on oxygen, unlike the most commonly used reporter systems (Piatkevich and Verkhusha 2011), such as GFP (Chalfie et al. 1994). Suzuki et al. (2013) showed its applicability in thermophilic bacteria under aerobic conditions, and here we have expanded this to include anaerobic conditions. By combining bgaB and S-gal we achieved a much higher sensitivity than when using X-gal as a substrate as done by Suzuki et al. (2013). This way, the bgaB/S-gal combination has a clear advantage for anaerobic and/or thermophilic bacteria where the availability of genetic tools is still scarce.

Generation of promoter libraries with varying strength by altering the flanking regions surrounding consensus motifs within the promoter is a well-recognized method (Gilman and Love 2016; Hammer et al. 2006; Jensen and Hammer 1998a), which was also applied for G. thermoglucosidans (Pogrebnyakov et al. 2017). In this study, a change in the promoter strength of fivefold was achieved, proving the applicability of the method. Using a similar reporter system restricted to mesophilic condition Jensen and Hammer (1998b) obtained a 400-fold change in activity by randomizing of the separating spacer sequences, while the consensus sequences were left intact. Selection of more clones and/or varying the consensus sequences is thus likely to result in greater viability with the respect to the activity. In general, there were no obvious features in promoter sequences, that distinguished strong and weak ones. However, slight variation in GC content between six promoters with highest (GC 31%) and lowest (26%) activity was observed. Future experiments will show the activity of the remaining promoters when expressed in Geobacillus. The promoter activity is likely to be different in Geobacillus, as promoter activity can be strain-dependent (Jensen and Hammer 1998b).

The experimental setup described above allowed us to construct a promoter library, select relevant clones, assess expression levels, and sequence the promoters within 4 days. It is expected that variation in other regions, such as Shine–Dalgarno affecting expression levels, could be assessed similarly. Since this robust method is very sensitive for identifying positive mutants, it is also highly suitable for an automated cloning and selection platform. Particularly, distinct black colonies with sharp edges are easily recognized by computer software, which facilitates improved automated colony picking. Additionally, simple equipment can be used to the perform analysis using this reporter, in contrast to the expression profiles of various libraries based on fluorescent proteins, which require analysis using fluorescent plate readers or flow cytometry.

In summary, we assessed the reporter system, focusing on application for thermophilic and anaerobic microorganisms, consisting of a thermostable β-galactosidase and its chromogenic substrate S-gal. Optimal conditions for the enzyme activity were 70 °C and pH 6.4. However, the reporter system proved sensitive over a range of different temperatures and pH values, in Gram-negative (E. coli) and Gram-positive (G. thermoglucosidans) bacteria, and under aerobic and anaerobic conditions. Thus, the reporter system presented in this study is a promising tool for fast automated high-throughput applications.

Abbreviations

S-gal:

3,4-cyclohexenoesculetin β-d-galactopyranoside

X-gal:

5-bromo-4-chloro-3-indolyl-β-d-galactopyranoside

U:

unit

IPTG:

isopropyl β-d-1-thiogalactopyranoside

RPM:

revolutions per minute

GFP:

green fluorescent protein

C:

celsius

USER:

uracil-specific excision reagent

Abs:

absorbance

V:

volume

t:

time

OD600:

optical density, of a sample measured at a wavelength of 600 nm

LB:

lysogenic broth

MU:

Miller units

References

  1. Aliye N, Fabbretti A, Lupidi G, Tsekoa T, Spurio R (2015) Engineering color variants of green fluorescent protein (GFP) for thermostability, pH-sensitivity, and improved folding kinetics. Appl Microbiol Biotechnol 99(3):1205–1216. doi:10.1007/s00253-014-5975-1

    CAS  Article  PubMed  Google Scholar 

  2. Batra N, Singh J, Banerjee UC, Patnaik PR, Sobti RC (2002) Production and characterization of a thermostable beta-galactosidase from Bacillus coagulans RCS3. Biotechnol Appl Biochem 36(1):1–6. doi:10.1042/BA20010091

    CAS  Article  PubMed  Google Scholar 

  3. Bhandiwad A, Shaw AJ, Guss A, Guseva A, Bahl H, Lynd LR (2014) Metabolic engineering of Thermoanaerobacterium saccharolyticum for n-butanol production. Metab Eng 21:17–25. doi:10.1016/j.ymben.2013.10.012

    CAS  Article  PubMed  Google Scholar 

  4. Chalfie M, Tu Y, Euskirchen G, Ward W, Prasher D (1994) Green fluorescent protein as a marker for gene expression. Science 263(5148):802–805. doi:10.1126/science.8303295

    CAS  Article  PubMed  Google Scholar 

  5. Chen W, Chen H, Xia Y, Zhao J, Tian F, Zhang H (2008) Production, purification, and characterization of a potential thermostable galactosidase for milk lactose hydrolysis from Bacillus stearothermophilus. J Dairy Sci 91(5):1751–1758. doi:10.3168/jds.2007-617

    CAS  Article  PubMed  Google Scholar 

  6. Cripps RE, Eley K, Leak DJ, Rudd B, Taylor M, Todd M, Boakes S, Martin S, Atkinson T (2009) Metabolic engineering of Geobacillus thermoglucosidasius for high yield ethanol production. Metab Eng 398–408:22

    Google Scholar 

  7. Daabrowski S, Sobiewska G, Maciunska J, Synowiecki J, Kur J (2000) Cloning, expression, and purification of the His(6)-tagged thermostable beta-galactosidase from Pyrococcus woesei in Escherichia coli and some properties of the isolated enzyme. Protein Expr Purif 19(1):107–112. doi:10.1006/prep.2000.1231

    CAS  Article  PubMed  Google Scholar 

  8. Dong YN, Liu XM, Chen HQ, Xia Y, Zhang HP, Zhang H, Chen W (2011) Enhancement of the hydrolysis activity of beta-galactosidase from Geobacillus stearothermophilus by saturation mutagenesis. J Dairy Sci 94(3):1176–1184. doi:10.3168/jds.2010-3775

    CAS  Article  PubMed  Google Scholar 

  9. Fisher AK, Freedman BG, Bevan DR, Senger RS (2014) A review of metabolic and enzymatic engineering strategies for designing and optimizing performance of microbial cell factories. Comput Struct Biotechnol J 11(18):91–99. doi:10.1016/j.csbj.2014.08.010

    Article  PubMed  PubMed Central  Google Scholar 

  10. Geu-Flores F, Nour-Eldin HH, Nielsen MT, Halkier BA (2007) USER fusion: a rapid and efficient method for simultaneous fusion and cloning of multiple PCR products. Nucleic Acids Res 35(7):e55. doi:10.1093/nar/gkm106

    Article  PubMed  PubMed Central  Google Scholar 

  11. Gilman J, Love J (2016) Synthetic promoter design for new microbial chassis. Biochem Soc Trans 44(3):731–737. doi:10.1042/BST20160042

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. Hammer K, Mijakovic I, Jensen PR (2006) Synthetic promoter libraries—tuning of gene expression. Trends Biotechnol 24(2):53–55. doi:10.1016/j.tibtech.2005.12.003

    CAS  Article  PubMed  Google Scholar 

  13. Heuermann K, Cosgrove J (2001) S-Gal (TM): an autoclavable dye for color selection of cloned DNA inserts. Biotechniques 30(5):1142–1147

    CAS  PubMed  Google Scholar 

  14. Jensen PR, Hammer K (1998a) Artificial promoter libraries for selected organisms and promoters derived from such libraries. WO1998007846, Feb 1998

  15. Jensen PR, Hammer K (1998b) The sequence of spacers between the consensus sequences modulates the strength of prokaryotic promoters. Appl Environ Microbiol 64(1):82–87

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Kim CS, Ji ES, Oh DK (2004) Characterization of a thermostable recombinant beta-galactosidase from Thermotoga maritima. J Appl Microbiol 97(5):1006–1014. doi:10.1111/j.1365-2672.2004.02377.x

    CAS  Article  PubMed  Google Scholar 

  17. Kishigami S, Komatsu Y, Takeda H, Nomura-Kitabayashi A, Yamauchi Y, Abe K, Yamamura K, Mishina Y (2006) Optimized beta-galactosidase staining method for simultaneous detection of endogenous gene expression in early mouse embryos. Genesis 44(2):57–65. doi:10.1002/gene.20186

    CAS  Article  PubMed  Google Scholar 

  18. Kiss C, Temirov J, Chasteen L, Waldo GS, Bradbury AR (2009) Directed evolution of an extremely stable fluorescent protein. Protein Eng Des Sel 22(5):313–323. doi:10.1093/protein/gzp006

    CAS  Article  PubMed  Google Scholar 

  19. Klapatch TR, Guerinot ML, Lynd LR (1996) Electrotransformation of Clostridium thermosaccharolyticum. J Ind Microbiol 16(6):342–347

    CAS  Article  PubMed  Google Scholar 

  20. Kuhad RC, Singh A (1993) Lignocellulose biotechnology: current and future prospects. Crit Rev Biotechnol 13(2):151–172. doi:10.3109/07388559309040630

    CAS  Article  Google Scholar 

  21. Lind DL, Daniel RM, Cowan DA, Morgan HW (1989) β-Galactosidase from a strain of the anaerobic thermophile, Thermoanaerobacter. Enzyme Microb Technol 11(3):180–186. doi:10.1016/0141-0229(89)90079-3

    CAS  Article  Google Scholar 

  22. Mahoney RR (1997) Lactose: enzymatic modification. In: Fox PF (ed) Advanced dairy chemistry, vol 3. Springer, New York, pp 77–125

    Google Scholar 

  23. Mai V, Wiegel J (2000) Advances in development of a genetic system for Thermoanaerobacterium spp.: expression of genes encoding hydrolytic enzymes, development of a second shuttle vector, and integration of genes into the chromosome. Appl Environ Microbiol 66(11):4817–4821. doi:10.1128/Aem.66.11.4817-4821.2000

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. Mai V, Lorenz WW, Wiegel J (1997) Transformation of Thermoanaerobacterium sp. strain JW/SL-YS485 with plasmid pIKM1 conferring kanamycin resistance. FEMS Microbiol Lett 148(2):163–167. doi:10.1111/j.1574-6968.1997.tb10283.x

    CAS  Article  Google Scholar 

  25. Nakkharat P, Haltrich D (2006) Lactose hydrolysis and formation of galactooligosaccharides by a novel immobilized beta-galactosidase from the thermophilic fungus Talaromyces thermophilus. Appl Biochem Biotechnol 129(1–3):215–225. doi:10.1385/Abab:129:1:215

    Article  PubMed  Google Scholar 

  26. Nour-Eldin HH, Hansen BG, Norholm MH, Jensen JK, Halkier BA (2006) Advancing uracil-excision based cloning towards an ideal technique for cloning PCR fragments. Nucleic Acids Res 34(18):e122. doi:10.1093/nar/gkl635

    Article  PubMed  PubMed Central  Google Scholar 

  27. Ohtsu N, Motoshima H, Goto K, Tsukasaki F, Matsuzawa H (1998) Thermostable beta-galactosidase from an extreme thermophile, Thermus sp. A4: enzyme purification and characterization, and gene cloning and sequencing. Biosci Biotechnol Biochem 62(8):1539–1545

    CAS  Article  PubMed  Google Scholar 

  28. Otero JM, Cimini D, Patil KR, Poulsen SG, Olsson L, Nielsen J (2013) Industrial systems biology of Saccharomyces cerevisiae enables novel succinic acid cell factory. PLoS ONE 8(1):e54144. doi:10.1371/journal.pone.0054144

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  29. Panesar PS, Panesar R, Singh RS, Kennedy JF, Kumar H (2006) Microbial production, immobilization and applications of β-d-galactosidase. J Chem Technol Biotechnol 81(4):530–543. doi:10.1002/jctb.1453

    CAS  Article  Google Scholar 

  30. Payton MA (1984) Production of ethanol by thermophilic bacteria. Trends Biotechnol 2(6):153–158. doi:10.1016/0167-7799(84)90032-5

    CAS  Article  Google Scholar 

  31. Pessela BCC, Mateo C, Fuentes M, Vian A, García JL, Carrascosa AV, Guisán JM, Fernández-Lafuente R (2003) The immobilization of a thermophilic β-galactosidase on Sepabeads supports decreases product inhibition. Enzyme Microb Technol 33(2–3):199–205. doi:10.1016/s0141-0229(03)00120-0

    CAS  Article  Google Scholar 

  32. Piatkevich KD, Verkhusha VV (2011) Guide to red fluorescent proteins and biosensors for flow cytometry. Methods Cell Biol 102:431–461. doi:10.1016/B978-0-12-374912-3.00017-1

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  33. Pogrebnyakov I, Jendresen CB, Nielsen AT (2017) Genetic toolbox for controlled expression of functional proteins in Geobacillus spp. PLoS ONE 12(2):e0171313. doi:10.1371/journal.pone.0171313

    Article  PubMed  PubMed Central  Google Scholar 

  34. Sambrook J, Russell DW (2001) Molecular cloning a laboratory manual. Cold Spring Harbor Laboratory Press, New York

    Google Scholar 

  35. Schrogel O, Allmansberger R (1997) Optimisation of the BgaB reporter system: determination of transcriptional regulation of stress responsive genes in Bacillus subtilis. FEMS Microbiol Lett 153(1):237–243

    CAS  Article  PubMed  Google Scholar 

  36. Shaikh SA, Khire JM, Khan MI (1999) Characterization of a thermostable extracellular beta-galactosidase from a thermophilic fungus Rhizomucor sp. Biochim Biophys Acta 1472(1–2):314–322. doi:10.1016/S0304-4165(99)00138-5

    CAS  Article  PubMed  Google Scholar 

  37. Shaw AJ, Podkaminer KK, Desai SG, Bardsley JS, Rogers SR, Thorne PG, Hogsett DA, Lynd LR (2008) Metabolic engineering of a thermophilic bacterium to produce ethanol at high yield. Proc Natl Acad Sci USA 105(37):13769–13774

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  38. Sheng L, Kovacs K, Winzer K, Zhang Y, Minton NP (2017) Development and implementation of rapid metabolic engineering tools for chemical and fuel production in Geobacillus thermoglucosidasius NCIMB 11955. Biotechnol Biofuels 10:5–22

    Article  PubMed  PubMed Central  Google Scholar 

  39. Stephenson FH (2016) Protein calculations for molecular biology and biotechnology, 3rd edn. Academic Press, Boston, pp 375–429

    Google Scholar 

  40. Suzuki H, Yoshida K, Ohshima T (2013) Polysaccharide-degrading thermophiles generated by heterologous gene expression in Geobacillus kaustophilus HTA426. Appl Environ Microbiol 79(17):5151–5158. doi:10.1128/AEM.01506-13

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  41. Taylor MP, Esteban CD, Leak DJ (2008) Development of a versatile shuttle vector for gene expression in Geobacillus spp. Plasmid 60(1):45–52. doi:10.1016/j.plasmid.2008.04.001

    CAS  Article  PubMed  Google Scholar 

  42. Thielges MC, Chung JK, Axup JY, Fayer MD (2011) Influence of histidine tag attachment on picosecond protein dynamics. Biochemistry 50(25):5799–5805. doi:10.1021/bi2003923

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  43. Ulrich JT, Temple KL, Mcfeters GA (1972) Induction and characterization of beta-galactosidase in an extreme thermophile. J Bacteriol 110(2):691–698

    CAS  PubMed  PubMed Central  Google Scholar 

  44. van der Veen D, Lo J, Brown SD, Johnson CM, Tschaplinski TJ, Martin M, Engle NL, van den Berg RA, Argyros AD, Caiazza NC, Guss AM, Lynd LR (2013) Characterization of Clostridium thermocellum strains with disrupted fermentation end-product pathways. J Ind Microbiol Biotechnol 40(7):725–734. doi:10.1007/s10295-013-1275-5

    CAS  Article  PubMed  Google Scholar 

  45. Welsch N, Homuth G, Schweder T (2012) Suitability of different beta-galactosidases as reporter enzymes in Bacillus subtilis. Appl Microbiol Biotechnol 93(1):381–392. doi:10.1007/s00253-011-3645-0

    Article  PubMed  Google Scholar 

  46. Wiegel J, Ljungdahl LG (1986) The importance of thermophilic bacteria in biotechnology. Crit Rev Biotechnol 3(1):39–108

    CAS  Article  Google Scholar 

  47. Woolston BM, Edgar S, Stephanopoulos G (2013) Metabolic engineering: past and future. Annu Rev Chem Biomol Eng 4:259–288. doi:10.1146/annurev-chembioeng-061312-103312

    CAS  Article  PubMed  Google Scholar 

  48. Yanisch-perron C, Vieira J, Messing J (1985) Improved M13 phage cloning vectors and host strains: nucleotide sequences of the M13mp18 and pUC19 vectors. Gene 33(1):103–119

    CAS  Article  PubMed  Google Scholar 

  49. Yuan G, Wong SL (1995) Regulation of groE expression in Bacillus subtilis: the involvement of the sigma A-like promoter and the roles of the inverted repeat sequence (CIRCE). J Bacteriol 177(19):5427–5433

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  50. Zeikus JG, Vieille C, Savchenko A (1998) Thermozymes: biotechnology and structure-function relationships. Extremophiles 2(3):179–183

    CAS  Article  PubMed  Google Scholar 

  51. Zhang XG, Bremer H (1995) Control of the Escherichia coli rrnB P1 promoter strength by ppGpp. J Biol Chem 270(19):11181–11189. doi:10.1074/jbc.270.19.11181

    CAS  Article  PubMed  Google Scholar 

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Authors’ contributions

TØJ and IP were main responsible for planning and performing the experiments, together with SR they drafted the manuscript. KBF conducted the experiments determining the optimal conditions for the enzyme. TØJ and IP constructed the promoter library. SR and ATN participated in interpretation of experiments and finishing of the manuscript. All authors read and approved the final manuscript.

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The authors declare that they have no competing interests.

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Strains are available upon request.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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This study was funded by The Novo Nordisk Foundation and a Ph.D. grant from the People Programme (Marie Curie Actions) of the European Union Seventh Framework Programme FP7-People-2012-ITN, together with funding from EU H2020-LCE, “AMBITION”.

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    1. The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet Building 220, 2800, Kongens Lyngby, Denmark

      Torbjørn Ølshøj Jensen, Ivan Pogrebnyakov, Kristoffer Bach Falkenberg, Stephanie Redl & Alex Toftgaard Nielsen

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    1. Torbjørn Ølshøj Jensen
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    Torbjørn Ølshøj Jensen and Ivan Pogrebnyakov shared 1st authorship

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    Jensen, T.Ø., Pogrebnyakov, I., Falkenberg, K.B. et al. Application of the thermostable β-galactosidase, BgaB, from Geobacillus stearothermophilus as a versatile reporter under anaerobic and aerobic conditions. AMB Expr 7, 169 (2017). https://doi.org/10.1186/s13568-017-0469-z

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    Keywords

    • Genetic reporter
    • Anaerobic genetics
    • Thermophile
    • Thermostable enzyme